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Articles on Trending Technologies
Technical articles with clear explanations and examples
How to create a plot with dashed regression line in base R?
To create a regression line in base R, we use abline function after creating the scatterplot but if we want to have the line dash format then lty argument must also be used with value equals to 2 after defining the regression model inside abline. For example, if we have two columns x and y stored in a data frame called df then the plot with dashed regression line can be created by using −plot(y~x, data=df) abline(lm(df$y~df$x), lty=2)ExampleConsider the below data frame −> x y df dfOutput x y 1 5.243553 4.969598 2 4.681088 5.076128 ...
Read MoreDelete an element from array using two traversals and one traversal in C++?
Two Traversals Let us first define the original array and the element to be searched and deleted from the array −int ele = 5; int arr = [1,2,3,4];Now we loop in the array to find the given element −for (i=0; i
Read MoreHow to create a plot in base R with dates sequence on X-axis?
If we have a vector that contains dates as sequence that needs to be plotted on the X-axis and another vector for the response then the plot can be simply created by using the plot function. In the plot function, we would need to pass the dates as the first argument and the response vector as the second argument. Check ou the examples below to understand how it works.Examplex
Read MoreDelete array element in given index range [L – R] in C++?
Let us first define the original array and the exclusive range for deletion of the array elements and also find the original array length −int arr[] = { 2, 4, 6, 8, 10, 12, 14, 16, 18, 20}; int L = 2, R = 6; int length = sizeof(arr) / sizeof(arr[0]);Now we loop in the array and if index position (i) is greater than L or R we increment the variable k which will be used to shift positions(delete) of array element once the index value (i) lies between the range L and R. Also, the new length of the ...
Read MoreHow to create a plot of quadratic regression with fitted values against X in base R?
The quadratic regression model can be plotted by using the plot function but we would need to find the fitted values using the model and this can be done with the help of fitted function. For example, if we have a quadratic model M and the data has an independent variable x then the model against x can be created by using plot(x,fitted(M)).Examplex1
Read MoreDelete leaf nodes with value as x in C++?
Let us first define the struct that would represent a tree node that contains the data and its left and right node child. If this is the first node to be created then it’s a root node otherwise a child node.struct Node { int data; struct Node *leftChild, *rightChild; };Next we create our newNode(int data) function that takes an int value and assign it to the data member of the node. The function returns the pointer to the created struct Node. Also the left and right child of the newly created node are set to null.struct Node* newNode(int ...
Read MoreWhat is the shortest way to round to the integer value in R?
The shortest way to round to the integer value is using trunc function. The trunc function is used to return the largest integer that is smaller than or equal to the actual value, that means it rounds downs to the nearest integer. It works as a ceiling function for negative number and floor function for positive number.Examplex1
Read MoreDelete leaf nodes with value k in C++?
Let us first define the struct that would represent a tree node that contains the data and its left and right node child. If this is the first node to be created then it’s a root node otherwise a child node.struct Node { int data; struct Node *leftChild, *rightChild; };Next we create our newNode(int data) function that takes an int value and assign it to the data member of the node. The function returns the pointer to the created struct Node. Also, the left and right child of the newly created node are set to null.struct Node* newNode(int ...
Read MoreHow to perform tukey HSD in base R?
First thing you must remember while moving on to post hoc analysis is the null hypothesis of the analysis of variance must be rejected, so that we can claim there exists a difference in the group means. Now, once we achieve that the tukey HSD can be performed simply by using TukeyHSD function in base R.ExampleConsider the below data frame −x1
Read MoreHow to combine vectors of equal length into a list with corresponding elements representing a single element of the list in R?
To combine three vectors into a list with corresponding elements representing a single element of the list we can use mapply function. For example, if we have three vectors x, y, and z each having number of elements equal to one-hundred then the list with corresponding elements can be created by using mapply(c,x,y,z,SIMPLIFY=FALSE).Examplex1
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